Semantic web link analysis to discover social relationships in academic communities

Takeru Miki, Saeko Nomura, Torn Ishida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

To discover how precisely links among researchers' Web sites capture the ties of academic communities, this study conducts Web citation analysis. 3,878 Web sites of computer scientists and their 8,811 articles are assessed. 200 most frequently cited researchers from them are subjected to Web author cocitation analysis and compared to bibliographical data. As a result, a cluster of researchers on the Web becomes a superset of bibliographical one, that is, a community representing a larger research field. We then develop Web link ontology that defines various relationships among researchers to apply metadata annotation to the links among 200 sites. Findings: 1) since intellectual ties analysis separates off sociocognitive ties, it results into a better approximation of bibliographical author cocitation, 2) since sociocognitive ties analysis can utilize various links not only coauthor networks, diverse kinds of social connections can be found, 3) merging intellectual ties and sociocognitive ties analyses detect gatekeepers who bridges research fields on social networks.

Original languageEnglish
Title of host publicationProceedings - 2005 Symposium on Applications and the Internet, SAINT'2005
Pages38-45
Number of pages8
Publication statusPublished - 2005 Dec 1
Externally publishedYes
Event5th Symposium on Applications and the Internet, SAINT'2005 - Trento, Italy
Duration: 2005 Jan 312005 Feb 4

Publication series

NameProceedings - 2005 Symposium on Applications and the Internet, SAINT'2005

Conference

Conference5th Symposium on Applications and the Internet, SAINT'2005
CountryItaly
CityTrento
Period05/1/3105/2/4

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Semantic web link analysis to discover social relationships in academic communities'. Together they form a unique fingerprint.

Cite this